Download or read book Experiments written by C. F. Jeff Wu and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition: "If you . . . want an up-to-date, definitive reference written by authors who have contributed much to this field, then this book is an essential addition to your library." —Journal of the American Statistical Association Fully updated to reflect the major progress in the use of statistically designed experiments for product and process improvement, Experiments, Second Edition introduces some of the newest discoveries—and sheds further light on existing ones—on the design and analysis of experiments and their applications in system optimization, robustness, and treatment comparison. Maintaining the same easy-to-follow style as the previous edition while also including modern updates, this book continues to present a new and integrated system of experimental design and analysis that can be applied across various fields of research including engineering, medicine, and the physical sciences. The authors modernize accepted methodologies while refining many cutting-edge topics including robust parameter design, reliability improvement, analysis of non-normal data, analysis of experiments with complex aliasing, multilevel designs, minimum aberration designs, and orthogonal arrays. Along with a new chapter that focuses on regression analysis, the Second Edition features expanded and new coverage of additional topics, including: Expected mean squares and sample size determination One-way and two-way ANOVA with random effects Split-plot designs ANOVA treatment of factorial effects Response surface modeling for related factors Drawing on examples from their combined years of working with industrial clients, the authors present many cutting-edge topics in a single, easily accessible source. Extensive case studies, including goals, data, and experimental designs, are also included, and the book's data sets can be found on a related FTP site, along with additional supplemental material. Chapter summaries provide a succinct outline of discussed methods, and extensive appendices direct readers to resources for further study. Experiments, Second Edition is an excellent book for design of experiments courses at the upper-undergraduate and graduate levels. It is also a valuable resource for practicing engineers and statisticians.

Download or read book Industrial Design of Experiments written by Sammy Shina and published by Springer Nature. This book was released on 2022 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides the tools, techniques, and industry examples needed for the successful implementation of design of experiments (DoE) in engineering and manufacturing applications. It contains a high-level engineering analysis of key issues in the design, development, and successful analysis of industrial DoE, focusing on the design aspect of the experiment and then on interpreting the results. Statistical analysis is shown without formula derivation, and readers are directed as to the meaning of each term in the statistical analysis. Industrial Design of Experiments: A Case Study Approach for Design and Process Optimization is designed for graduate-level DoE, engineering design, and general statistical courses, as well as professional education and certification classes. Practicing engineers and managers working in multidisciplinary product development will find it to be an invaluable reference that provides all the information needed to accomplish a successful DoE. Presents classical versus Taguchi DoE methodologies as well as techniques developed by the author for successful DoE; Offers a step-wise approach to DoE optimization and interpretation of results; Includes industrial case studies, worked examples and detailed solutions to problems.

Download or read book Optimization and Industrial Experimentation written by William E. Biles and published by John Wiley & Sons. This book was released on 1980-03-10 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combines new developments in numerical optimization with statistical and experimental methods. Discusses the use of statistical methods to develop mathematical models; search methods for single-variable and multiple-variable optimization as well as classical and numerical techniques directly applicable in response surface methodology; and procedures for optimizing systems experimentally.

Download or read book Experimental Design and Process Optimization written by Maria Isabel Rodrigues and published by CRC Press. This book was released on 2014-12-11 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experimental Design and Process Optimization delves deep into the design of experiments (DOE). The book includes Central Composite Rotational Design (CCRD), fractional factorial, and Plackett and Burman designs as a means to solve challenges in research and development as well as a tool for the improvement of the processes already implemented. Appr

Download or read book Experimentation for Engineers written by David Sweet and published by Simon and Schuster. This book was released on 2023-03-21 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new features and fine-tuning parameters. You’ll start with a deep dive into methods like A/B testing, and then graduate to advanced techniques used to measure performance in industries such as finance and social media. Learn how to evaluate the changes you make to your system and ensure that your testing doesn’t undermine revenue or other business metrics. By the time you’re done, you’ll be able to seamlessly deploy experiments in production while avoiding common pitfalls. About the technology Does my software really work? Did my changes make things better or worse? Should I trade features for performance? Experimentation is the only way to answer questions like these. This unique book reveals sophisticated experimentation practices developed and proven in the world’s most competitive industries that will help you enhance machine learning systems, software applications, and quantitative trading solutions. About the book Experimentation for Engineers: From A/B testing to Bayesian optimization delivers a toolbox of processes for optimizing software systems. You’ll start by learning the limits of A/B testing, and then graduate to advanced experimentation strategies that take advantage of machine learning and probabilistic methods. The skills you’ll master in this practical guide will help you minimize the costs of experimentation and quickly reveal which approaches and features deliver the best business results. What's inside Design, run, and analyze an A/B test Break the “feedback loops” caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization About the reader For ML and software engineers looking to extract the most value from their systems. Examples in Python and NumPy. About the author David Sweet has worked as a quantitative trader at GETCO and a machine learning engineer at Instagram. He teaches in the AI and Data Science master's programs at Yeshiva University. Table of Contents 1 Optimizing systems by experiment 2 A/B testing: Evaluating a modification to your system 3 Multi-armed bandits: Maximizing business metrics while experimenting 4 Response surface methodology: Optimizing continuous parameters 5 Contextual bandits: Making targeted decisions 6 Bayesian optimization: Automating experimental optimization 7 Managing business metrics 8 Practical considerations

Download or read book Optimal Design of Experiments written by Friedrich Pukelsheim and published by SIAM. This book was released on 2006-04-01 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Design of Experiments offers a rare blend of linear algebra, convex analysis, and statistics. The optimal design for statistical experiments is first formulated as a concave matrix optimization problem. Using tools from convex analysis, the problem is solved generally for a wide class of optimality criteria such as D-, A-, or E-optimality. The book then offers a complementary approach that calls for the study of the symmetry properties of the design problem, exploiting such notions as matrix majorization and the Kiefer matrix ordering. The results are illustrated with optimal designs for polynomial fit models, Bayes designs, balanced incomplete block designs, exchangeable designs on the cube, rotatable designs on the sphere, and many other examples.

Download or read book Response Surface Methodology written by Raymond H. Myers and published by John Wiley & Sons. This book was released on 2016-01-04 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Third Edition: “This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.” - Zentralblatt Math Featuring a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents updated coverage on the underlying theory and applications of response surface methodology (RSM). Providing the assumptions and conditions necessary to successfully apply RSM in modern applications, the new edition covers classical and modern response surface designs in order to present a clear connection between the designs and analyses in RSM. With multiple revised sections with new topics and expanded coverage, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition includes: Many updates on topics such as optimal designs, optimization techniques, robust parameter design, methods for design evaluation, computer-generated designs, multiple response optimization, and non-normal responses Additional coverage on topics such as experiments with computer models, definitive screening designs, and data measured with error Expanded integration of examples and experiments, which present up-to-date software applications, such as JMP®, SAS, and Design-Expert®, throughout An extensive references section to help readers stay up-to-date with leading research in the field of RSM An ideal textbook for upper-undergraduate and graduate-level courses in statistics, engineering, and chemical/physical sciences, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition is also a useful reference for applied statisticians and engineers in disciplines such as quality, process, and chemistry.

Download or read book Design and Optimization of Production Lines written by Paolo Renna and published by MDPI. This book was released on 2021-01-27 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to the latest findings on the design and optimization of production lines. The “Fourth Industrial Revolution” (alternatively known as “Industry 4.0”) supports innovative models for energy consumption and fault tolerance in automated lines, and this drives changes in the design and optimization models of production lines. The goal is to collect a series of works that can summarize the latest trends in the field of production line optimization models in order to improve the responsiveness of automated lines to failures, reduce energy consumption and peak electricity demand, and develop other methods to support robust and sustainable production lines.

Download or read book Successful Industrial Experimentation written by B. Kyle and published by Wiley-VCH. This book was released on 1995-10-12 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introductory guide to process and product improvement through the use of simple quality improvement techniques and experimental design methodology. The fundamentals of a sound experimental approach to problem-solving which incorporates valid statistical analysis is stressed. All techniques presented in this book have been applied in a variety of industrial situations by individuals with varying academic backgrounds. This book is particulary beneficial to those individuals who are interested in performing experiments but have no inclination toward becoming a statistician. It is an ideal textbook for college courses on experimental techniques, correspondence courses or for self paced study programs.

Download or read book Manufacturing Process Design and Optimization written by Rhyder and published by CRC Press. This book was released on 1997-04-15 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents the concepts of process design, problem identification, problem-solving and process optimization. It provides the basic tools needed to increase the consistency and profitability of manufacturing options, stressing the paradigms of improvement and emphasizing the hands-on use of tools furnished. The book introduces basic experimental design principles and avoids complicated statistical formulae.

Download or read book Cell Formation in Industrial Engineering written by Boris Goldengorin and published by Springer Science & Business Media. This book was released on 2013-08-23 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a development of optimal, flexible, and efficient models and algorithms for cell formation in group technology. Its main aim is to provide a reliable tool that can be used by managers and engineers to design manufacturing cells based on their own preferences and constraints imposed by a particular manufacturing system. This tool could potentially lower production costs by minimizing other costs in a number of areas, thereby increasing profit in a manufacturing system. In the volume, the cell formation problem is considered in a systematic and formalized way, and several models are proposed, both heuristic and exact. The models are based on general clustering problems, and are flexible enough to allow for various objectives and constraints. The authors also provide results of numerical experiments involving both artificial data from academic papers in the field and real manufacturing data to certify the appropriateness of the models proposed. The book was intended to suit the broadest possible audience, and thus all algorithmic details are given in a detailed description with multiple numerical examples and informal explanations are provided for the theoretical results. In addition to managers and industrial engineers, this book is intended for academic researchers and students. It will also be attractive to many theoreticians, since it addresses many open problems in computer science and bioinformatics.

Download or read book Process Optimization written by Enrique del Castillo and published by Springer Science & Business Media. This book was released on 2007-09-14 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers several bases at once. It is useful as a textbook for a second course in experimental optimization techniques for industrial production processes. In addition, it is a superb reference volume for use by professors and graduate students in Industrial Engineering and Statistics departments. It will also be of huge interest to applied statisticians, process engineers, and quality engineers working in the electronics and biotech manufacturing industries. In all, it provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization, and more.

Download or read book Design of Experiments in Production Engineering written by J. Paulo Davim and published by Springer. This book was released on 2015-11-06 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.

Download or read book The Optimum Design of Industrial Experiments written by James Morgan Lucas and published by . This book was released on 1972 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Optimization of Industrial Systems written by Dilbagh Panchal and published by John Wiley & Sons. This book was released on 2022-08-23 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: OPTIMIZATION of INDUSTRIAL SYSTEMS Including the latest industrial solution-based practical applications, this is the most comprehensive and up-to-date study of the optimization of industrial systems for engineers, scientists, students, and other professionals. In order to deal with societal challenges, novel technologies play an important role. For the advancement of technology, it is essential to share innovative ideas and thoughts on a common platform where researchers across the globe meet together and revitalize their knowledge and skills to tackle the challenges that the world faces. The high complexity of the issues related to societal interdisciplinary research is the key to future revolutions. From research funders to journal editors, policymakers to think tanks, all seem to agree that the future of research lies outside disciplinary boundaries. In such prevailing conditions, various working scenarios, conditions, and strategies need to be optimized. Optimization is a multidisciplinary term, and its essence can be inculcated in any domain of business, research, and other associated working dynamics. Globalization provides all-around development, and this development is impossible without technological contributions. This volume’s mission is at the core of industrial engineering. All the manuscripts appended in this volume were double-blind peer-reviewed by committee members and the review team, promising high-quality research. This book provides deep insights to its readers about the current scenarios and future advancements of industrial engineering.

Download or read book Design and Analysis of Experiments written by Douglas C. Montgomery and published by Wiley. This book was released on 2000-07-14 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Design of Experiments for Chemical Pharmaceutical Food and Industrial Applications written by Carrillo-Cedillo, Eugenia Gabriela and published by IGI Global. This book was released on 2019-12-13 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.